Direct projection to latent variable space for fault detection
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Publication:1659398
DOI10.1016/j.jfranklin.2013.10.007zbMath1395.93206OpenAlexW2006059152MaRDI QIDQ1659398
Jing Hu, Tianqi Yuan, Chenglin Wen, Ping Li
Publication date: 15 August 2018
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2013.10.007
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Cites Work
- Geometric properties of partial least squares for process monitoring
- Principal component analysis.
- An LMI approach to design robust fault detection filter for uncertain LTI systems.
- Multivariate SPC Charts for Monitoring Batch Processes
- Relative PCA with Applications of Data Compression and Fault Diagnosis
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